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Learner Reviews & Feedback for Excel Fundamentals for Data Analysis by Macquarie University

4.8
stars
3,905 ratings

About the Course

As data becomes the modern currency, so the ability to analyse the data quickly and accurately has become of paramount importance. Excel with its extraordinarily broad range of features and capabilities is one of the most widely used programs for doing this. In the first course of our Excel Skills for Data Analysis and Visualization Specialization, you will learn the fundamentals of Excel for data analysis. When you have completed the course, you will be able to use a range of Excel tools and functions to clean and prepare data for analysis; automate data analysis with the help of Named Ranges and Tables; and use logical and lookup functions to transform, link and categorise data. This course will enable you to build a strong foundation in the fundamentals, helping you to be more efficient in your day-to-day and developing the necessary skills to work with the more advanced techniques used in later courses. To make the content easy to relate to and to personalize the learning experience, we are going to follow Zara's journey through the course. Who is Zara? Well, she is no-one and everyone. You will find that Zara's trials and tribulations sound familiar, and together with Zara, you will develop your Excel skills along the way — and, importantly, have some fun doing it. The Excel Skills for Data Analytics and Visualization courses are the sequel to one of most successful specializations on Coursera, Excel Skills for Business, which has attracted hundreds of thousands of learners and top ratings. Transform your skills, your confidence, and your opportunities by adding this new set of skills to your repertoire....

Top reviews

NK

Oct 6, 2022

Very comprehensive and clearly laid out course with loads of content. Great videos, well explained and loads of practice exercises. I feel as if I've learned a great deal, Very Valuable, thank you .

FV

Jul 18, 2020

Well done. A small thing, though: in the quizzes, the grading could be made more fault-tolerant. Example: an answer such as AND(y,x) instead of AND(x,y) is deemed wrong, which borders on the nasty.

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826 - 850 of 1,032 Reviews for Excel Fundamentals for Data Analysis

By Bolaji O

•

Oct 19, 2021

Awesome

By Shynta N

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Feb 4, 2025

BESTTT

By Rohan N

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Aug 13, 2024

greatt

By Willy H

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May 31, 2024

Useful

By Jn.S

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Jan 20, 2024

useful

By Mohamed H

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Mar 27, 2023

thanks

By Colette A P D

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Jan 16, 2021

Great!

By OG'ABEK A B O

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Jan 25, 2025

Hello

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Jan 19, 2025

Great

By Xuan A N

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Jun 21, 2023

geat!

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May 3, 2023

great

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Oct 24, 2022

Nice

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Oct 12, 2022

best

By Harsh D

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Sep 29, 2022

good

By Ajril R

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Apr 17, 2021

great

By Herobrine P

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Feb 1, 2025

good

By RUBEN L M

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Nov 21, 2024

NICE

By Aakash S

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Dec 13, 2023

nice

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Sep 21, 2023

good

By Vike

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Jul 25, 2023

good

By Daniel F O N

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Mar 1, 2023

Good

By ROHIT V G

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Oct 14, 2022

DSF

By Francesco G

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Sep 30, 2022

good

By Sangeet A

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Jul 31, 2022

GOOD

By Md. A A

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Feb 20, 2022

good